Evidence map›Paper›PMID 37103988›Full record

ArticleJMIR formative research2023

An Emerging Screening Method for Interrogating Human Brain Function: Tutorial.

Gustavo Sudre, Anto I Bagić, James T Becker, John P Ford

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Gustavo SudreBrain FIT Imaging, LLC, Unadilla, NY, United States.ORCID https://orcid.org/0000-0001-5949-5413
Anto I BagićUniversity of Pittsburgh Comprehensive Epilepsy Center, Department of Neurology, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-6284-8336
James T BeckerDepartments of Psychiatry, Neurology, and Psychology, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0003-4425-4726
John P FordBrain FIT Imaging, LLC, Unadilla, NY, United States.ORCID https://orcid.org/0000-0001-5151-4157
University of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive decline can be observed due to a myriad of causes. Clinicians would benefit from a noninvasive quantitative tool to screen and monitor brain function based on direct measures of neural features. In this study, we used neuroimaging data from magnetoencephalography (with a whole-head Elekta Neuromag 306 sensor system) to derive a set of features that strongly correlate with brain function. We propose that simple signal characteristics related to peak variability, timing, and abundance can be used by clinicians as a screening tool to investigate cognitive function in at-risk individuals. Using a minimalistic set of features, we were able to perfectly distinguish between participants with normative and nonnormative brain function, and we were also able to successfully predict participants' Mini-Mental Test score (r=0.99; P<.001; mean absolute error=0.413). This set of features can be easily visualized in an analog fashion, providing clinicians with several graded measurements (in comparison to a single binary diagnostic tool) that can be used for screening and monitoring cognitive decline.

Indexed as

brain functioncognitioncognitive functioncognitive testmagnetoencephalographyMEGneuroimagingscreeningsignaltooltutorial

Identifiers

PMID37103988
PMCPMC10176126
OpenAlexW4367174030

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.